In a paragraph explain what the data and the analysis of the data say about the participants and the program. Answering the following questions in a paragraph:

• How many of the participants (i.e., clients) identified as female versus male?
• What was the average age of the clients?
• How would you interpret this data set from clients who participated in an intervention meant to increase their hours worked per week in a work development program using descriptive statistics? Think about the clients' hours of work per week at baseline and their hours worked at the time of discharge.

Consider how you would report all this information (such as using percentages, frequencies, means) depending on the type of data (variables).

Client Age	Client at Baseline - Hours Worked	Client at Discharge - Hours Worked	Gender (coded as 1 = male; 0 = female)
20	12	30	1
38	20	23	1
55	23	32	1
40	38	24	1
20	32	32	1
24	10	10	0
53	0	40	1
28	0	34	0
19	0	28	0
44	2	39	0
49	6	40	0
68	22	12	1
53	31	43	1
20	40	33	1
35	12	38	0
44	18	12	0
30	74	0	1
32	32	35	1
55	24	40	0
30	22	32	0
66	10	22	0
54	9	30	1
20	7	34	1
22	3	35	0
54	1	40	1
30	6	39	0
70	35	26	1
22	22	0	1
37	16	24	1
46	4	30	1
62	6	35	0
18	12	35	0
64	0	35	0
33	0	40	1
55	24	25	1
64	30	30	0
50	12	38	1
19	3	31	0
21	12	29	0
23	30	33	0
46	15	40	1
53	21	0	1
24	13	35	0
63	25	25	0
18	16	20	1
66	10	35	0
29	0	40	1
30	0	0	0
60	0	35	0